This Python OOP explains to you the Python object-oriented programming clearly so that you can apply it to develop software more effectively.<\/p>\n\n\n\n
By the end of this Python OOP module, you’ll have good knowledge of object-oriented principles. And you’ll know how to use Python syntax to create reliable and robust software applications.<\/p>\n\n\n\n
If you’re new to object-oriented programming, or if you have basic Python skills and wish to learn in-depth how and when to correctly apply OOP in Python, this is the tutorial for you. <\/p>\n\n\n\n
auto<\/code> class to generate unique values for enumeration’s members.<\/li><\/ul>\n<\/div><\/div>\n\n\n\n\nSection 6. SOLID principles #<\/a><\/h2>\n\n\n\nThis section introduces you to the SOLID principles of object-oriented programming. These five design principles make your software designs more maintainable and flexible. <\/p>\n\n\n\n
- Single Responsibility Principle<\/a> – a class should have a single resposiblity.<\/li>
- Open\/Closed Principle<\/a> – a class shoud be open for extension but closed for modification.<\/li>
- Liskov Substitution Principle<\/a> – a child class must be able to substituteable for its parent class.<\/li>
- Interface Segregation Principle<\/a> – use many small interfaces instead of a big interface.<\/li>
- Dependency Inversion Principle<\/a> – make the high-level module dependent on abstraction, not the low-level module.<\/li><\/ul>\n<\/div><\/div>\n\n\n\n\n
Section 7. Multiple inheritance #<\/a><\/h2>\n\n\n\n- Multiple inheritance<\/a> – learn how to implement multiple inheritance and understand how the method resolution order (MRO) works in Python.<\/li>
- Mixin<\/a> – introduce to you the mixin concept and how to implement mixin in Python.<\/li><\/ul>\n<\/div><\/div>\n\n\n\n\n
Section 8. Descriptors #<\/a><\/h2>\n\n\n\n- Descriptors<\/a> – explain how descriptors work and how to use them to make the code reusable.<\/li>
- Data vs non-data descriptors<\/a> – understand the differences between data and non-data descriptors<\/li><\/ul>\n<\/div><\/div>\n\n\n\n\n
Section 9. Metaprogramming #<\/a><\/h2>\n\n\n\n- __new__<\/a> – learn how Python uses the __new__ method to create a new instance of a class.<\/li>
- type class<\/a> – show you how to dynamically create a class using the type class.<\/li>
- Metaclass<\/a> – explain the metaclass and show you how to define a custom metaclass to create other classes.<\/li>
- Metaclass example<\/a> – show you a metaclass example that allows you to inject many functionalities into classes.<\/li>
- dataclass<\/a> – leverage dataclass to add special methods such as __init__ and __repr__ to custom classes.<\/li><\/ul>\n<\/div><\/div>\n\n\n\n\n
Section 10. Exceptions #<\/a><\/h2>\n\n\n\n- Exceptions<\/a> – learn about exceptions in the context of objects<\/li>
- Exception Handling<\/a> – guide you on how to handle exceptions in the right way using the try statement.<\/li>
- Raise Exceptions<\/a> – show you how to use the raise statement to raise exceptions.<\/li>
- Raise Exception from cause<\/a> – learn how to modify and forward an existing exception with a cause.<\/li>
- Custom exceptions<\/a> – walk you through the steps of creating a custom exception class.<\/li><\/ul>\n<\/div><\/div>\n\n\t
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